Design of durable and recyclable superhydrophobic materials for oil/water separation is a major concern in the field of wastewater treatment. Functionalization of a biodegradable matrix with controllable grown crystals brings out a new research perspective. In this study, multiscale zeolitic imidazolate frameworks (ZIFs) were grown and decorated on a polylactic acid (PLA) nonwoven fabric (NWF) to construct a superhydrophobic material by an in situ growth method and a spraying process. The stable superhydrophobic layer contains two kinds of ZIF crystals showing microscale flake-like structures and nanoscale particles. The morphology and surface energy of such a hierarchically structured ZIF-modified PLANWF is controllable by the adjustment of experimental parameters. The as-prepared PLA hybrid materials exhibit high separation efficiency and recyclability as for water-nitromethane and water-toluene mixtures. Based on the wetting envelopes of the ZIF-modified PLA material, its separation performance for various oil/water mixtures can be preliminarily assessed before the application.Dysregulation of histone H3 lysine 4 (H3K4) methylation is implicated in the pathogenesis of neurodevelopmental disorders. Lysine-specific demethylase 1 (LSD1) determines the methylation status of H3K4 through flavin adenine dinucleotide (FAD)-mediated histone demethylation. Therefore, LSD1 inhibition in the brain can be a novel therapeutic option for treating these disorders. Positron emission tomography (PET) imaging of LSD1 allows for investigating LSD1 expression levels under normal and disease conditions and validating target engagement of therapeutic LSD1 inhibitors. This study designed and synthesized (2-aminocyclopropyl)phenyl derivatives with irreversible binding to LSD1 as PET imaging agents for LSD1 in the brain. https://www.selleckchem.com/products/ipi-549.html We optimized lipophilicity of the lead compound to minimize the risk of nonspecific binding and identified 1e with high selectivity over monoamine oxidase A and B, which are a family of FAD-dependent enzymes homologous to LSD1. PET imaging in a monkey showed a high uptake of [18F]1e to regions enriched with LSD1, indicating its specific binding to LSD1.Pollutant degradation via periodate (IO4-)-based advanced oxidation processes (AOPs) provides an economical, energy-efficient way for sustainable pollution control. Although single-atomic metal activation (SMA) can be exploited to optimize the pollution degradation process and understand the associated mechanisms governing IO4--based AOPs, studies on this topic are rare. Herein, we demonstrated the first instance of using SMA for IO4- analysis by employing atomically dispersed Co active sites supported by N-doped graphene (N-rGO-CoSA) activators. N-rGO-CoSA efficiently activated IO4- for organic pollutant degradation over a wide pH range without producing radical species. The IO4- species underwent stoichiometric decomposition to generate the iodate (IO3-) species. Whereas Co2+ and Co3O4 could not drive IO4- activation; the Co-N coordination sites exhibited high activation efficiency. The conductive graphene matrix reduced the contaminants/electron transport distance/resistance for these oxidation reactions and boosted the activation capacity by working in conjunction with metal centers. The N-rGO-CoSA/IO4- system exhibited a substrate-dependent reactivity that was not caused by iodyl (IO3?) radicals. Electrochemical experiments demonstrated that the N-rGO-CoSA/IO4- system decomposed organic pollutants via electron-transfer-mediated nonradical processes, where N-rGO-CoSA/periodate* metastable complexes were the predominant oxidants, thereby opening a new avenue for designing efficient IO4- activators for the selective oxidation of organic pollutants.Great endeavors have been dedicated to the development of wound dressing materials. However, there is still a demand for developing a wound dressing hydrogel that integrates natural macromolecules without requiring extra chemical modifications, so as to enable a facile transformation and practical application in wound healing. Herein, a composite hydrogel was prepared with water-soluble polysaccharides from Enteromorpha prolifera (PEP) cross-linked with boric acid and polyacrylamide cross-linked via polymerization (PAM) using a one-pot method. The dual-network of this hydrogel enabled it to have an ultratough mechanical strength. Moreover, interfacial characterizations reflected that the hydrogen bonds and dynamic hydroxyl-borate bonds contributed to the self-healing ability of the PEP-PAM hydrogel, and the surface groups on the hydrogel allowed for tissue adhesiveness and natural antioxidant properties. Additionally, human epidermal growth factor-loaded PEP-PAM hydrogel promoted cell proliferation and migration in vitro and significantly accelerated wound healing in vivo on model rats. These progresses suggested a prospect for the PEP-PAM hydrogel as an effective and easily available wound dressing material. Remarkably, this work showcases that a wound dressing hydrogel can be facially developed by using natural polysaccharides as a one component and offers a new route for the high-value utilization of disastrous marine blooming biomass by transforming it into a biomedical material.Site-specific proteolytic processing is an important, irreversible post-translational protein modification with implications in many diseases. Enrichment of protein N-terminal peptides followed by mass spectrometry-based identification and quantification enables proteome-wide characterization of proteolytic processes and protease substrates but is challenged by the lack of specific annotation tools. A common problem is, for example, ambiguous matches of identified peptides to multiple protein entries in the databases used for identification. We developed MaxQuant Advanced N-termini Interpreter (MANTI), a standalone Perl software with an optional graphical user interface that validates and annotates N-terminal peptides identified by database searches with the popular MaxQuant software package by integrating information from multiple data sources. MANTI utilizes diverse annotation information in a multistep decision process to assign a conservative preferred protein entry for each N-terminal peptide, enabling automated classification according to the likely origin and determines significant changes in N-terminal peptide abundance.